![]() ![]() Say you want to check for their presence, and study any such duplicated records. ![]() This is for hunting down and examining duplicate records during data cleaning - usually when there shouldn’t be any.įor example, in a tidy data frame you might expect to have a unique ID repeated for each year, and year repeated for each unique ID, but no duplicated pairs of unique ID & year. Explore records with duplicated values for specific combinations of variables with get_dupes() When calling crosstab() to feed this function, leave the default argument percent = "none" so that the integer values are passed through. Jby Zach How to Calculate Percentage by Group in R (With Example) You can use the following syntax to calculate a percentage by group in R: library(dplyr) df > groupby (groupvar) > mutate (percent valuevar/sum (valuevar)) The following example shows how to use this syntax in practice.
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